{"id":"W2772904046","doi":"10.1111/nep.13205","title":"Direct and indirect costs incurred by Australian living kidney donors","year":2017,"lang":"en","type":"article","venue":"Nephrology","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Western University","funders":"National Health and Medical Research Council; Raine Medical Research Foundation","keywords":"Indirect costs; Medicine; Donation; Total cost; Kidney donation; Medical prescription; Health economics; Environmental health; Surgery; Kidney transplantation; Public health; Transplantation; Business; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001149511,0.00008481486,0.000166481,0.00006407194,0.0001706362,0.0000333901,0.00006232514,0.0001138647,0.0002867511],"category_scores_gemma":[0.0001675111,0.00007931393,0.00002103927,0.00002622302,0.0001197209,0.00009465888,0.00001789222,0.0001084186,0.00004167215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002375565,"about_ca_system_score_gemma":0.00003678484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001690304,"about_ca_topic_score_gemma":0.0001132817,"domain_scores_codex":[0.9994541,0.0000369682,0.0001074793,0.0001737518,0.0000749027,0.0001527852],"domain_scores_gemma":[0.9995124,0.00005696951,0.00007256468,0.0001773558,0.0000257091,0.000155029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002451232,0.0001466856,0.801498,0.0001098286,0.0001804248,0.00007427191,0.001096561,1.348253e-7,0.09178125,0.0002766441,0.07893369,0.02565742],"study_design_scores_gemma":[0.00129277,0.0001550808,0.8906158,0.00005275673,0.00009003904,0.00008543156,0.00001762496,0.0000189728,0.009645503,0.00001810727,0.09790861,0.00009935337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783153,0.00005353252,0.00001362339,0.00748884,0.0001986095,0.0001574981,0.00003214565,0.0000593091,0.01368116],"genre_scores_gemma":[0.9949003,0.0001746173,0.00008540357,0.002640427,0.00008232652,0.000006573909,0.00005301324,0.00001093183,0.002046426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08911778,"threshold_uncertainty_score":0.3234328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433628116987,"score_gpt":0.2812897268210912,"score_spread":0.2669534456512212,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}